AI Architect

1 week ago

Bengaluru, India SMARTWORK IT SERVICES Full time

Role Summary :We are seeking a Principal AI & Emerging Technology Strategy to define and drive the next frontier of digital transformation.This role will serve as a strategic thought partner and technical advisor to the Head of Functional Excellence and ADT (Analysis, Design, and Transformation), shaping the enterprise AI and emerging technology roadmap.The role requires deep expertise in AI/ML, cloud-native platforms, governance frameworks, and enterprise architecture, with the ability to connect business value with technical feasibility and organizational readiness.Key Responsibilities :Strategic Technology Foresight & AI Roadmapping :- Develop and operationalize an integrated AI & Emerging Tech strategy covering Machine Learning, Generative AI, LLMs, Cloud-native platforms, Edge Computing, APIs, and automation frameworks.- Conduct strategic assessments on evolving technology trends (cloud modernization, data mesh, low code/no-code platforms) and their impact on capability design, operating models, and workforce transformation.Use Case Architecture & Value Prioritization :- Translate ambiguous business challenges into AI-enabled use cases, performing technical feasibility studies and defining value hypotheses.- Build and maintain a prioritized AI use case backlog tied to enterprise strategy, supported by ROI-driven phasing and maturity mapping.Portfolio & Capability Transformation Planning :- Define the future-state capability portfolio, including shifts in tooling, data integration, automation layers, and human-AI interaction models.- Lead the design of AI skilling pathways to prepare workforce roles (analysts, testers, designers, change agents) for the future of human-AI collaboration.Governance, Architecture & Platform Integration :- Establish robust AI governance frameworks, covering explainability, data stewardship, lifecycle ownership, and compliance.- Partner with Enterprise Architecture and Digital Platforms teams to ensure AI initiatives align with enterprise standards, DevSecOps practices, and target-state platform convergence.- Advocate for integration of LLM-based copilots, automation scripts, and AI accelerators into enterprise ecosystems (e.g., Azure DevOps, ServiceNow, SAP).Market & Ecosystem Leadership :- Monitor market shifts and vendor roadmaps (Microsoft, AWS, ServiceNow, Google) to inform build vs. buy decisions.- Shape executive narratives, investment cases, and transformation blueprints to secure alignment and sponsorship.Required Qualifications & Skills :- 12+ years of experience in AI, emerging technology, or enterprise architecture roles, with leadership exposure.- Deep expertise in AI/ML concepts, model lifecycle management, LLMs, MLOps, and enterprise integration patterns.- Strong knowledge of cloud computing platforms (Azure, AWS, GCP), edge architectures, API management, and automation frameworks (RPA, low-code).- Proven experience in tech portfolio rationalization, roadmap design, and capability operating model development.- Familiarity with TOGAF, Zachman, SAFe, ITIL frameworks.- Ability to thrive in ambiguity and shape strategies in large-scale, federated organizations.- Excellent communication, stakeholder management, and storytelling skills.Preferred :- Exposure to business analysis, quality engineering, or experience design practices.- Experience leading enterprise AI adoption initiatives in regulated/global organizations. (ref:hirist.tech)

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